LandingAI Overview

  • Year Founded
  • 2017

Year Founded

  • Status
  • Private

  • Employees
  • 107

Employees

  • Latest Deal Type
  • Series AA

  • Investors
  • 14

LandingAI General Information

Description

Developer of a visual inspection platform designed to empower companies to become artificial intelligence-driven organizations. The company's platform helps to improve the accuracy of machine learning models with data generation and labeling identifies issues caused by the environment and raises alerts when the model changes, enabling businesses to easily manage data and accelerate troubleshooting.

Contact Information

Website
www.landing.ai
Ownership Status
Privately Held (backing)
Financing Status
Venture Capital-Backed
Corporate Office
  • 195 Page Mill Road
  • Suite 115
  • Palo Alto, CA 94306
  • United States
+1 (650)
Primary Industry
Business/Productivity Software
Other Industries
Software Development Applications
Corporate Office
  • 195 Page Mill Road
  • Suite 115
  • Palo Alto, CA 94306
  • United States
+1 (650)

LandingAI Timeline

2022202320242025
Financing RoundCaptured Employee CountEstimated Employee Growth

Want detailed data on 3M+ companies?

What you see here scratches the surface

Request a free trial

Want to dig into this profile?

We’ll help you find what you need

Learn more

LandingAI Valuation & Funding

Deal Type Date Amount Raised to Date Post-Val Status Stage
8. Later Stage VC (Series AA) 05-Jun-2024 Completed Generating Revenue
7. Accelerator/Incubator Completed Generating Revenue
6. Accelerator/Incubator 01-Jan-2023 Completed Generating Revenue
5. Early Stage VC (Series A) 08-Nov-2021 Completed Generating Revenue
4. Debt - PPP 28-Apr-2020 Completed Generating Revenue
3. Early Stage VC 19-Mar-2020 Completed Generating Revenue
2. Early Stage VC 30-Jan-2018 Completed Startup
1. Early Stage VC (Series 1) 01-Jan-2018 Completed Startup
To view LandingAI’s complete valuation and funding history, request access »

VC Exit Predictor

See how our proprietary methodology utilizes historical data sets to synthesize the likelihood of an acquisition, IPO, or no exit event. Get a detailed look at the calculations behind our predictions.

Opportunity Score

Calculated using Exit Type probabilities, the company’s stage, and PitchBook’s historical returns data.

Exit Type

Evaluates the likelihood of a successful exit for investors, and the most likely exit type.

LandingAI Comparisons

Description
Primary
Industry
HQ Location
Employees
Total Raised
Post Valuation
Last
Financing
Details
Developer of a visual inspection platform designed to empower companies to become artificial intelligence-driven organiz
Business/Productivity Software
Palo Alto, CA
107 As of 2025

San Francisco, CA
 

San Francisco, CA
 
Add Comparison

PitchBook’s comparison feature gives you a side-by-side look at key metrics for similar companies. Personalize which data points you want to see and create visualizations instantly.

Request a free trial

LandingAI Competitors (50)

One of LandingAI’s 50 competitors is Domino Data Lab, a Venture Capital-Backed company based in San Francisco, CA.

Company Name Financing Status Location Employees Total Raised Last Financing Date/Type Last Financing Amount
Domino Data Lab Venture Capital-Backed San Francisco, CA
DataChain Venture Capital-Backed San Francisco, CA
DataLoop Venture Capital-Backed Herzliya, Israel
alwaysAI Venture Capital-Backed Cardiff, CA
Labelbox Venture Capital-Backed San Francisco, CA
You’re viewing 5 of 50 competitors. Get the full list »

LandingAI Patents

LandingAI Recent Patent Activity

Publication ID Patent Title Status First Filing Date Technology (CPC) Citations
US-20250209800-A1 Coreset generation for pretraining of large vision models Pending 20-Dec-2023
US-20240412094-A1 Tuning hyperparameters for postprocessing output of machine learning models Pending 06-Jun-2023
US-20240362895-A1 Near-duplicate detection of images for training or validation of machine learning models Pending 26-Apr-2023
US-20230139803-A1 Continuous delivery in cloud platforms of machine learning models with human in the loop Pending 29-Oct-2021
US-12333792-B2 Guided workflow for deep learning error analysis Active 29-Oct-2021 G06V10/776
To view LandingAI’s complete patent history, request access »

LandingAI Signals

Growth Rate

Weekly
Growth
Weekly Growth

Size Multiple

Median
Size Multiple

Key Data Points

Similarweb Unique Visitors

Majestic Referring Domains

PitchBook’s non-financial metrics help you gauge a company’s traction and growth using web presence and social reach.

Request a free trial

LandingAI Investors (14)

Investor Name Investor Type Holding Investor Since Participating Rounds
Pure Storage Corporation Minority
Khasm Labs Accelerator/Incubator
CPP Investments Limited Partner Minority
Drive Catalyst Corporate Venture Capital Minority
Insight Partners (New York) Venture Capital Minority
You’re viewing 5 of 14 investors. Get the full list »

LandingAI FAQs

  • When was LandingAI founded?

    LandingAI was founded in 2017.

  • Where is LandingAI headquartered?

    LandingAI is headquartered in Palo Alto, CA.

  • What is the size of LandingAI?

    LandingAI has 107 total employees.

  • What industry is LandingAI in?

    LandingAI’s primary industry is Business/Productivity Software.

  • Is LandingAI a private or public company?

    LandingAI is a Private company.

  • What is LandingAI’s current revenue?

    The current revenue for LandingAI is .

  • How much funding has LandingAI raised over time?

    LandingAI has raised $57M.

  • Who are LandingAI’s investors?

    Pure Storage, Khasm Labs, CPP Investments, Drive Catalyst, and Insight Partners (New York) are 5 of 14 investors who have invested in LandingAI.

  • Who are LandingAI’s competitors?

    Domino Data Lab, DataChain, DataLoop, alwaysAI, and Labelbox are some of the 50 competitors of LandingAI.

Data Transparency

  • Meet our data hygiene team

    Discover how our experts ensure you’re getting the most accurate financial data in the industry.

    Read blog »
  • How PitchBook sources data

    Our data operations team has logged over 3.5 million hours researching, organizing, and integrating the information you need most.

    Discover our process »